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Hybrid of TSR and seeded region growing for debonding detection using optical thermography

Lookup NU author(s): Dr Bin Gao, Professor Gui Yun TianORCiD


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© 2017 IEEE. Carbon fiber reinforced polymer (CFRP) are commonly used in the field of aerospace. Under manufacturing or in service procedure, there exists internal defects such as delamination and debonding due to the factors of improper production and environment. In order to guarantee CFRP internal quality and safety, the optical pulsed thermography (OPT) nondestructive testing has been used to detect the internal defects. However, the current OPT related methods has problems of uneven illumination and low resolution of defects detection. In this paper, the hybrid of thermographic signal reconstruction (TSR) and seeded region growing (SRG) algorithm was proposed to deal with the infrared thermal image sequences of the CFRP specimen, which can significantly enhance the detection rate. Finally, the event based F-score is computed to measure the detection results and comparison studies show that the proposed method can improve the performance of the detection.

Publication metadata

Author(s): Feng Q, Gao B, Yang Y, Lu P, Zhao J, Li XQ, Qiu X, Gu L, Tian G

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Proceedings of 2017 IEEE Far East NDT New Technology and Application Forum, FENDT 2017

Year of Conference: 2018

Pages: 216-219

Online publication date: 24/12/2018

Acceptance date: 02/04/2016

Publisher: Institute of Electrical and Electronics Engineers Inc.


DOI: 10.1109/FENDT.2017.8584602

Library holdings: Search Newcastle University Library for this item

ISBN: 9781538616147